Empirical investigation of the low temperature energy function of the Restricted Boltzmann Machine using a 1000 qubit D-Wave 2X.
Yaroslav KoshkaDilina PereraSpencer HallMark A. NovotnyPublished in: IJCNN (2016)
Keyphrases
- energy function
- restricted boltzmann machine
- graph cuts
- deep learning
- markov random field
- energy minimization
- conditional random fields
- loopy belief propagation
- probabilistic graphical models
- belief propagation
- active contours
- semi supervised
- learning algorithm
- segmentation method
- image segmentation
- level set
- shape prior
- hopfield neural network
- unsupervised learning
- neural network
- maximum a posteriori
- graphical models
- maximum likelihood
- probability distribution
- pairwise